DocumentCode :
2732206
Title :
Digital phonocardiography: a PDA-based approach
Author :
Brusco, Matias ; Nazeran, Homer
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas Univ., El Paso, TX, USA
Volume :
1
fYear :
2004
fDate :
1-5 Sept. 2004
Firstpage :
2299
Lastpage :
2302
Abstract :
In this paper we demonstrate the applicability of advanced digital signal processing algorithms to the analysis of heart sound signals and describe the development of a PDA-based biomedical instrument capable of acquisition, processing, and analysis of heart sounds. Fourier transform-based spectral analysis of heart sounds was carried out first to show the differences in the frequency contents of normal and abnormal heart sounds. As the time-varying nature of heart sounds calls for better techniques capable of analyzing such signals: the short time Fourier transform (STFT) or spectrogram analysis was performed next. This method performed remarkably well in displaying frequency, magnitude, and time information of the heart sounds, providing robust parameters to make accurate diagnosis. With continuous technological advancements in computing and biomedical instrumentation, and the concurrent popularity of handheld instruments in the medical community, we introduce the concept of PDA-based digital phonocardiography. A prototype system is comprised of a digital stethoscope and a pocket PC. Heart sounds are recorded and displayed in the pocket PC screen. Advanced signal processing algorithms are implemented using the combined capabilities of software tools such as LabVlEW and embedded Visual C++.
Keywords :
Fourier transforms; acoustic signal processing; bioacoustics; cardiology; medical signal processing; notebook computers; spectral analysis; Fourier transform; LabVlEW; PDA-based biomedical instrument; Visual C/sup ++/; advanced digital signal processing algorithms; digital phonocardiography; digital stethoscope; heart sound acquisition; heart sound processing; heart sound signals; pocket PC; short time Fourier transform; spectral analysis; Algorithm design and analysis; Biomedical measurements; Digital signal processing; Frequency; Heart; Performance analysis; Signal analysis; Signal processing; Signal processing algorithms; Spectral analysis; Digital phonocardiography; cardiac valvular diseases; heart sounds signal analysis; personal digital assistants (PDAs); wearable biomedical instruments;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-8439-3
Type :
conf
DOI :
10.1109/IEMBS.2004.1403668
Filename :
1403668
Link To Document :
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